Splitting volume across 3 networks cut revenue lost to outages from 14% to 2%.
Cohort: one buyer running a single iGaming offer, 6-month tracking. Measured revenue lost during tracking/payment incidents.

— Single network: 4 incidents, 19 days degraded, 14% of period revenue lost ▏▏▏▏▏▏▏
— Same offer mirrored across 3 networks, traffic auto-shifted: aggregate loss 2% ▏▏

Individual networks still had outages (combined 23 degraded-days), but no single one carried the full load. Worst-case single-day revenue dropped from −82% to −24%.

Read: redundancy didn't prevent failures — it capped their blast radius, converting a 14% leak into a rounding error (n=1 offer, 3 networks).

Microsoft планирует вставлять рекламу в игры

➡️ Читайте на сайте: https://aff.top/blog/microsoft-planiruet-vstavliat-reklamu-v-igry

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Run a 20-minute weekly network review
A fixed cadence beats reactive panic. Five reads, every Monday.

— EPC delta vs trailing 4-week median, per network
— Approval rate this week vs the network's stated floor
— Pending balance aging: any payout past due date?
— Chargeback cohort maturation — does the curve still flatten?
— Support latency median this week

Flag rule: 2+ metrics in the red ▏▏ = schedule a deeper audit.
Sample bar: 1 red ▏ watch · 3 red ▏▏▏ escalate.

Read: weekly review turns a quarterly crisis into a 20-minute correction.

Starting at a $500 weekly cap on a new network de-risked a relationship that scaled to $40k/mo.
Cohort: one buyer onboarding an unproven network, 5-month log. Goal: bound first-payment risk before scaling.

— Month 1: capped exposure at $500/wk, confirmed first payout cleared on time ▏
— Month 2: $4k/wk after pay verified ▏▏▏
— Months 3–5: scaled to $10k/wk ▏▏▏▏▏▏▏▏ ($40k/mo)

First payment landed 2 days early. Had it bounced, max loss was capped at one week's $500.

Read: the first payout is the only real reliability data — a deliberately small opening bet priced the unknown at $500 before committing $40k (n=1 network, 5-month).

Negotiate a payout bump with evidence, not volume promises
Managers move on data they can forward up the chain.

— Bring 30 days of EPC and approval rate, sample size labeled
— Show your quality: chargeback rate below their portfolio median
— Frame the ask as $/conversion, with a volume tier attached
— Anchor to a competing network's quote (named vertical, same geo)
— Request a 2-week test at the new rate, not a permanent commit

Leverage check (your stats vs their floor):
approval +6pts ▏▏▏ · chargeback -2.1pts ▏▏

Read: a payout bump is granted to forwardable evidence, not to enthusiasm.

Redirect split-tests lose 3-6% of clicks vs meta-refresh, gain cleaner data

Server-side redirect A/B vs meta-refresh/JS rotation for landing-page tests.

— Redirect click loss: 3-6% ▏▏▏ (bots, slow connections drop)
— Meta-refresh loss: 8-12% ▏▏▏▏▏▏ (worse, double-counts)
— Redirect data accuracy: 97% vs meta 88%
— Redirect adds ~20ms

Read: redirect tests cost a few clicks but give trustworthy attribution; meta/JS only when the offer page forbids redirects. Never mix the two mid-test. n=12 tests, 40-day window.

На Anthropic, OpenAI, Google и SpaceXAI подали в суд из-за ИИ

В Калифорнии против ИИ-компаний подали антимонопольный иск: регулятору показалось подозрительным, что игроки синхронно призывают ограничить развитие нейросетей ради безопасности. Смысл спора в том, что инвестиции в ИИ уже обгоняют реальный прогресс, а бизнесу выгодны правила, которые защитят капитал. Вывод: быстрых прорывов ждать не стоит, лучше выжимать максимум из текущих инструментов.

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Google ads начал показывать расходы конкурентов

Google Ads запустил Peer Spending — инструмент, который сравнивает расходы аккаунта с рекламодателями из той же ниши без раскрытия чужих данных. Он показывает, тратите вы больше, меньше или примерно на уровне конкурентов на уровне кампаний и групп объявлений. Для арбитража это скорее ориентир по бенчмаркам, чем инструмент прямого усиления залива.

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Pre-landers add 18-34% CR but cost 12-20% of clicks to the bounce

Pre-lander (warm-up page) vs direct-linking to the offer.

— Direct-link CR: baseline 1.0 ▏▏▏▏▏
— Pre-lander CR lift: +18-34% ▏▏▏▏▏▏▏
— Click loss on pre-lander bounce: 12-20%
— Net EPC lift: +7-15% after the bounce tax

Read: pre-landers win when the offer needs context (insurance, finance, nutra) and lose on impulse/known-brand offers where the extra click just leaks. Test net EPC, not raw CR. n=21 campaigns.

Size your cash buffer from the hold-time tail
Under-buffer and a payout delay halts your scaling.

— Use p90 hold time, not the median — tails are what strand you
— Multiply by peak daily spend, not average
— Add one payment cycle of lag (the frequency gap)
— Hold a 20% contingency for a single delayed payout
— Recompute the buffer each time spend steps up

Buffer = (p90 hold + cycle lag) × peak spend × 1.2
Worked: (58d+7d) × $2k × 1.2 ▏▏▏▏▏ ≈ $156k

Read: the buffer is set by the worst 10% of holds, never the typical one.

Минфин РФ планирует выпустить собственный стейблкоин

Власти РФ обсуждают запуск рублёвого стейблкоина: сейчас решают, как его обеспечить, какие операции разрешить и будет ли на него спрос. Основной кейс — международные переводы, а не использование физлицами. Если проект доведут до запуска, он может стать частью новой криптоинфраструктуры и альтернативой токенам, привязанным к дружественным валютам.

➡️ Читайте на сайте: https://aff.top/blog/minfin-rf-planiruet-vypustit-sobstvennyi-steiblkoin

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